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AI-102: Microsoft Azure AI Engineer Associate Practice Exams
New
Rating: 5.0 out of 5(1 rating)
299 students

AI-102: Microsoft Azure AI Engineer Associate Practice Exams

Practice 600 AI-102-style questions covering Azure AI, generative AI, agents, vision, language, and AI Search.
Last updated 8/2026
English

What you'll learn

  • Assess legacy AI-102 exam readiness through realistic Azure AI practice questions and detailed answer explanations.
  • Plan, deploy, secure, monitor, and manage Azure AI solutions using responsible AI and supported Azure services.
  • Implement generative AI, agents, computer vision, language, speech, search, and document intelligence solutions.
  • Analyze Azure AI scenarios, select suitable services, integrate APIs and SDKs, and troubleshoot solution performance.

Included in This Course

600 questions
  • AI-102: Microsoft Azure AI Engineer Associate Practice Exams100 questions
  • AI-102: Microsoft Azure AI Engineer Associate Practice Exams100 questions
  • AI-102: Microsoft Azure AI Engineer Associate Practice Exams100 questions
  • AI-102: Microsoft Azure AI Engineer Associate Practice Exams100 questions
  • AI-102: Microsoft Azure AI Engineer Associate Practice Exams100 questions
  • AI-102: Microsoft Azure AI Engineer Associate Practice Exams100 questions

Description

Prepare with six comprehensive AI-102-style practice exams containing 600 scenario-based questions about designing and implementing Microsoft Azure AI solutions.

This course is intended for Azure AI developers, cloud engineers, software developers, solution architects, and professionals who want to review the technical skills previously measured by the Microsoft AI-102 exam.

The practice tests cover planning and managing Azure AI solutions, selecting appropriate services and models, deploying resources, configuring authentication, applying role-based access control, protecting secrets, monitoring solutions, estimating consumption, and implementing responsible AI controls.

You will also practice building generative AI applications with Microsoft Foundry and Azure OpenAI capabilities. Topics include prompt engineering, model selection, retrieval-augmented generation, embeddings, vector and hybrid search, structured outputs, function calling, content safety, evaluation, monitoring, and conversation state management.

Additional questions cover agentic solutions, including tool integration, managed identities, human approval, persistent state, idempotent actions, audit logging, and agent evaluation.

The course also reviews computer vision, optical character recognition, Azure AI Document Intelligence, natural language processing, custom text classification, custom named entity recognition, translation, question answering, and Azure AI Search.

Every question includes an explanation for the correct answer and each incorrect option. These explanations help you understand the relevant Azure service, distinguish between similar capabilities, identify common mistakes, and strengthen your practical decision-making skills.

By completing the six practice exams, you can:

• Review legacy AI-102 knowledge areas
• Practice realistic Azure AI scenarios
• Strengthen generative AI and agent development skills
• Review vision, language, document, and search services
• Identify knowledge gaps
• Build confidence with 600 practice questions

This course is an independent learning resource and is not affiliated with, sponsored by, or endorsed by Microsoft.

Important: Microsoft retired AI-102 and the Azure AI Engineer Associate certification on June 30, 2026. The replacement certification is Azure AI Apps and Agents Developer Associate, associated with AI-103.

Who this course is for:

  • Legacy AI-102 learners, Azure AI developers, cloud engineers, software developers, and professionals reviewing Azure AI solution skills.